Reading group on graphical models for complex data

Schedule: Mondays 2:40 - 4:00pm, Randall 2246

Faculty Organizers Shuheng Zhou Kerby Shedden

Webmaster: Seyoung Park (pseyoung@umich.edu)

Schedule
Week    Date    Topic Papers Presenter
3 Sept 21 Introduction
4 Sept 28 Review of the high dimensional Gaussian graphical model and linear regression [MB(2006)] [GR(2004)] Shuheng Zhou
7 Oct 5 Regularized Matrix Regression [HL(2012)] Yanzhen Deng
8 Oct 12 High-dimensional sparse MANOVA, high-dimensional mean comparison [SJP(2014)] [TY(2014)] Michael Hornstein
9 Oct 19 Joint Estimation of Multiple Graphical Models from High Dimensional Time Series [HFHB(2014)] Seyoung Park
10 Oct 26 Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation [KA(2015)] [TA(2013)] Kristjan Greenewald
11 Nov 2 Parsimonious Tensor Response Regression [LX(2015)] [DF(2010)] Roger Fan
12 Nov 9 Cross-Covariate Functions for Multivariate Geostatistics [MW(2015)] Joey Dickens, Robyn Ferg
13 Nov 16 TBD Take a break! TBD
14 Nov 23 High-dimensional Multivariate Time Series With Local Dependence /td> [MSK(2015)] Yura Kim
15 Nov 30 A two-sample test for high-dimensional data with applications to gene-set testing [SY(2010)] Yuqi Gu
16 Dec 7 TBD TBD

References

href="http://arxiv.org/pdf/1510.02159.pdf">MSK(2015)]
[MB(2006)] High-dimensional graphs and variable selection with Lasso
[GR(2004)] Persistence in high-dimensional linear predictor selection and the virtue of overparametrization
[HL(2012)] Regularized Matrix Regression
[SJP(2014)] Two-Sample Tests for High Dimensional Means with Thresholding and Data Transformation
[TY(2014)] High-dimensional sparse MANOVA
[HFHB(2014)] Joint Estimation of Multiple Graphical Models from High Dimensional Time Series
[MW(2015)] Cross-Covariance Functions for Multivariate Geostatistics1
[KA(2015)] Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation
[TA(2013)] Covariance Estimation in High Dimensions via Kronecker Product Expansions
[LX(2015)] Parsimonious Tensor Response Regression
[DF(2010)] ENVELOPE MODELS FOR PARSIMONIOUS AND EFFICIENT MULTIVARIATE LINEAR REGRESSION
[SY(2010)] A two-sample test for high-dimensional data with applications to gene-set testing
[MSK(2015)] A two-sample test for high-dimensional data with applications to gene-set testing